Nonlinear Digital Filtering with Python - Info and Reading Options
An Introduction
By Ronald K. Pearson and Moncef Gabbouj
"Nonlinear Digital Filtering with Python" was published by Taylor & Francis Group in 2015 - Boca Raton, it has 300 pages and the language of the book is English.
“Nonlinear Digital Filtering with Python” Metadata:
- Title: ➤ Nonlinear Digital Filtering with Python
- Authors: Ronald K. PearsonMoncef Gabbouj
- Language: English
- Number of Pages: 300
- Publisher: Taylor & Francis Group
- Publish Date: 2015
- Publish Location: Boca Raton
“Nonlinear Digital Filtering with Python” Subjects and Themes:
- Subjects: ➤ Digital filters (mathematics) - Python (computer program language) - Nonlinear functional analysis - Digital filters (Mathematics) - Python (Computer program language) - Data processing - Analyse fonctionnelle non linéaire - Filtres numériques (Mathématiques) - Informatique - Python (Langage de programmation) - MATHEMATICS - Calculus - Mathematical Analysis
Edition Identifiers:
- The Open Library ID: OL28817319M - OL21284323W
- Online Computer Library Center (OCLC) ID: 921987670
- Library of Congress Control Number (LCCN): 2015014942
- ISBN-13: 9781498714112 - 9781498714136
- All ISBNs: 9781498714112 - 9781498714136
AI-generated Review of “Nonlinear Digital Filtering with Python”:
"Nonlinear Digital Filtering with Python" Description:
Open Data:
1. Introduction -- 2. Python -- 3. Linear and Volterra filters -- 4. Median filters and some extensions -- 5. Forms of nonlinear behavior -- 6. Composite structures : bottom-up design -- 7. Recursive structures and stability
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